Results 111 to 120 of about 574,603 (197)

A Lightweight Hybrid Deep Learning Model for Tuberculosis Detection from Chest X-Rays. [PDF]

Diagnostics (Basel)
Owda M, Abumihsan A, Owda AY, Abumohsen M.   +3 more
europepmc   +1 more source

Multimodal Fusion of Chest X-Rays and Blood Biomarkers for Automated Silicosis Staging. [PDF]

J Clin Med
Priego-Torres B, Sopo-Lambea I, Khalili E, Martín-Carrillo A, Campos-Caro A, León-Jiménez A, Sanchez-Morillo D.   +6 more
europepmc   +1 more source

Deep‑learning based osteoporosis classification in knee X‑rays using transfer‑learning approach. [PDF]

Sci Rep
Qureshi MB, Sani M, Raza A, Qureshi MS, Alghamdi W, Akbar S, Kadir RA, Sarker MR.   +7 more
europepmc   +1 more source

X-rays, Laser, X-rays again

Journal of the Society of Materials Science, Japan, 2018
openaire   +2 more sources

Optimising Beam Geometry in Orthopaedic X-Rays: A Phantom Study. [PDF]

J Med Radiat Sci
Ringin J, Maibaum Z, Fox L, Merritt W.
europepmc   +1 more source

X-Ray Pelvimetry [PDF]

BMJ, 1938
openaire   +2 more sources

X-rays enhance Fe²⁺-mediated oxidative membrane damage in OUMS-36T-1 fibroblasts, supported by the liposome model. [PDF]

Med Int (Lond)
Kato S.
europepmc   +1 more source

Accelerating tuberculosis diagnosis in Mozambican prisons using digital chest X-rays with computer-aided detection: a longitudinal, comprehensive health intervention. [PDF]

BMC Glob Public Health
Olotu AA, Chiramal JA, Boehm RA, Nair AM, Chawla S, Vicente MA, Matusse DA, Uate ST, Munguambe AS, Prophete EJ, Brown VM, Anli CM, Vijayan S, Calder IR, Spaulding AC.   +14 more
europepmc   +1 more source

Assessing Adequacy of Marker Ball Placement in Preoperative Pelvic X-rays: Are We Missing the Mark? [PDF]

Cureus
Rahim AK, Imtiaz H, Afzal I, Karim A, Shah P, Barot K, Durrani A, Kouklidis G, Ahmed T, Raymond A.   +9 more
europepmc   +1 more source

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays. [PDF]

Open Heart
Li B, Zhao K, Liu A, Xu W, Tang Y, Yang K, Dai L, Chen X, Zhao S, Yan C.   +9 more
europepmc   +1 more source